At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

We are seeking a visionary leader to drive transformation on our Model Development and Decision Science (MDDS) team within Credit Risk Administration (CRA). This leader will be responsible for overseeing the evolution of the production & implementation arm of the team into a dynamic Model Operations function supporting the full model lifecycle (from development and deployment to monitoring).

About the CRA Team

We are a highly dynamic and talented team which delivers on our mission through four pillars:  Customer, Process, Talent, and Data.  

Vision | We create the future of credit risk management through data, analytics, and risk process innovation for our customers.

Mission | We deliver data-driven information solutions to protect our stakeholders and inform the most significant financial decisions in the bank.

Values | In addition to U.S. Bank core values, we prioritize collaboration, integrity, simplicity, and continuous learning.

About the Role

In this role, you will lead a team responsible for implementation, production, and monitoring of credit risk models, as well as the development of solutions to automate and generate insights from the models through reporting and visualization. The models support loan portfolio stress testing (CCAR), the allowance for credit losses (ACL / CECL), counterparty risk, climate risk, and commercial risk rating scorecards. Portfolios cover commercial and industrial, commercial real estate, residential mortgages, credit cards, and other retail portfolios. The ideal candidate will have exceptional leadership experience, a strong background in data science, predictive modeling, and technology, and a strategic vision for the team including next-generation model approaches (e.g. AI/ML, GenAI.)

Key Activities

The Model Operations team activities encompass the following areas:

Model implementation – deployment of approximately 120 models into our model production engine.Production – monthly/quarterly model execution across multiple scenarios in support of ACL and stress-testing processes. Monitoring – systematically track and report on the ongoing performance and stability of models.Transformation – re-engineering existing processes to be more modular, repeatable, scalable, and controlled.  Leverage automation tools and AI to increase efficiency, reduce operational risk, and enhance usability and interpretability of results.Visualization / management reporting – pipe output from automated processes to dashboards (PowerBI, Tableau), traditional reports (Word/PDF), and other formats.

In addition, this role will oversee the establishment (recruiting, training, and ongoing management) of an offshore team to supplement and support the U.S.-based team on all areas above.

Core Competencies

Experience leading quantitative teams, strong understanding of predictive modeling techniques, and familiarity with credit risk data at large regulated financial institutions.Strong technology background including fundamental software engineering principles, automation tools, cloud-based tools and infrastructure, database systems, and dashboard/visualization tools.Exceptional leadership skills and ability to drive transformation initiatives that span multiple teams and stakeholders.A mindset for collaboration, customer centricity, and risk management.

Basic Qualifications

Master’s Degree or PhD in a quantitative field such as computer science, data science, mathematics, or statistics.10 or more years of experience in a leadership role in model development/implementation, software engineering, or related area.Strong familiarity with credit risk modeling and industry-standard approaches (e.g. PD, LGD, EAD).Deep understanding of banking, financial metrics, and credit risk management.Knowledge of banking regulation and requirements for stress testing and credit reserves.Demonstrated success attracting talent, building, and leading teams of model developers or analysts in similarly technical fields.Excellent executive presence and verbal and written communication skills.Strong analytical, organizational, problem-solving, and project-management skills.

Preferred Skills

Python and SAS programming.Automation using Bash/shell scripting and orchestration tools like Apache Airflow.Relational databases, SQL query optimization.Code management and version control using Git.Cloud-based solution deployment (AWS or Azure) and containerization/orchestration tools (e.g. Docker, Kubernetes).AI/ML and GenAI approaches.Microsoft Power Automate / Power Apps.PowerBI or other visualization dashboards.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits: 

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):

Healthcare (medical, dental, vision)

Basic term and optional term life insurance

Short-term and long-term disability

Pregnancy disability and parental leave

401(k) and employer-funded retirement plan

Paid vacation (from two to five weeks depending on salary grade and tenure)

Up to 11 paid holiday opportunities

Adoption assistance

Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

EEO is the Law

U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors. Applicants can learn more about the company’s status as an equal opportunity employer by viewing the federal KNOW YOUR RIGHTS EEO poster.  

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $193,035.00 - $227,100.00 - $249,810.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Job postings typically remain open for approximately 20 days of the posting date listed above, however the job posting may be closed earlier should it be determined the position is no longer required due to business need. Job postings in areas with a high volume of applicants, such as customer service, contact center, and Financial Crimes investigations, remain open for approximately 5 days of the posting listed date.